Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...
Abstract: Inspired by the idea of deep learning, several latent variable models have been successfully extended to the deep forms for industrial data analytics. Compared to traditional deep neural ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
German software company PVRadar Labs has released a Python programming toolbox for industry practitioners that are building site-specific models. The package provides a shortcut to to customize yield ...
Predictive Modeling and Experimental Validation of Magnetophoretic Delivery of Magnetic Nanocultures
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Magnetophoresis offers a powerful strategy for the targeted delivery of functional ...
Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...
Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.
Maria Lungu receives funding from the University of Virginia, Digital Technology for Democracy Lab. She is affiliated with nonprofit Center for AI and Digital Policy (CAIDP). The 2002 sci-fi thriller ...
Abstract: Distributed parameter systems (DPS) are broadly present in numerous industrial manufacturing systems. Accurate modeling of DPS is critical for subsequent process monitoring and optimization.
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